جست‌وجوی استاد و پژوهشگر

• E-commerce
• Information Systems in Tourism
• Sustainable Development
• +۵ مورد دیگر

Gnezdovskyi Oleksiy Valentinovich is a Senior Lecturer at the Department of Integrated Welding Technologies and Structural Modeling within the Faculty of International Tourism and Personnel Management at Zaporizhia National Technical University. He has been active in academic and scientific work since 2007. B.Sc. in Mathematics, Zaporizhia State University (2004) M.Sc. in Entrepreneurship, Trade, and Stock Exchange Activities, Zaporizhia National Technical University (2018) His research focuses on the intersection of E-commerce , Information Systems in Tourism , and Digital Transformation . Key trends in his work include Finite Element Analysis , Digital Risk Management , and Structural Modeling with applications in tourism and business ecosystems. Scientific awards include a Certificate of Honor (2010) from the Zaporizhia Oblast State Administration. His publications span 15 years , emphasizing digital solutions for sustainable business, e-commerce trends, and computational modeling in engineering and tourism contexts. He teaches courses in Informatics , Organization of Electronic Stores , and Information Systems , while contributing to academic councils and research projects at ZNTU.

• Electronics
• Nonlinear Circuits
• Semiconductor Device Modeling
• +۵ مورد دیگر

Fabrizio Bonani is a Full Professor at Polytechnic University of Turin's Department of Electronics and Telecommunications (DET), affiliated with the PolitoBIOMed Lab and serving on the Internationalization Table. His research spans nonlinear circuits, semiconductor device modeling (noise/thermal/variability), quantum-inspired computation, and energy harvesting systems. Research interests include: Stability/chaos in nonlinear circuits TCAD modeling of semiconductor devices Noise analysis in oscillators Energy harvesting system optimization Quantum-inspired computational methods His recent publications focus on energy harvesting systems (7 papers), GaN HEMT modeling (3 papers), and TCAD applications (2 papers), demonstrating strong trends in renewable energy tech and semiconductor device innovation. Awards include: Ottavio Bonazzi Award (1995) IEEE Fellow (2000-present) Advises PhD students including Edoardo De Ruvo (current) and Eva Catoggio (2019-2023). Leads research groups: Microwave and Optoelectronics Group (MOG)

Patrick Pradelمشاهده پروفایل

مدرس ارشد

• Additive Manufacturing
• Digital Fabrication
• Design Education
• +۳ مورد دیگر

Dr. Patrick Pradel is a Senior Lecturer in Digital Design and Manufacturing at Loughborough University, serving as Programme Leader for the MSc in Integrated Industrial Design. He holds a PhD from Politecnico di Milano (2009), an MSc in Design & Engineering (2008), and a BA in Product Design (2002). His research focuses on Additive Manufacturing (AM), digital fabrication, and design education. He leads major projects like the EPSRC-funded UK Design for AM Network and the AHRC-funded When Design Never Ends , exploring AM's impact on design practice and education. Education: BA (2002), MSc (2008), PhD (2009) from Politecnico di Milano Research interests include AM's disruptive potential in product design, industrial applications of 3D printing, and bridging gaps in DfAM education. His work addresses AM's technical limitations and advocates for interdisciplinary collaboration to advance adoption across sectors. He co-leads a virtual exhibition on evolving design practices and collaborates with industry partners like Grundfos and Valcucine. Recent articles highlight AM's role in gamified e-wallets, bio-composite viability, and pedagogical methods. His projects emphasize AM's role in personalized products and sustainable manufacturing. Awards: Principal Investigator roles in EPSRC/AHRC grants reflect his leadership in design innovation Grants: EPSRC Network Design for AM, Royal Society Exchange Programme Led the development of product design programs at the University of Nottingham Ningbo and contributed to Loughborough's DDF Research Group. His future work aims to integrate emerging technologies into design education and industrial practices.

Carolina Vittoria Beccariمشاهده پروفایل

دانشیار

• Geometric modeling
• Numerical methods for curves and surfaces
• Interpolation
• +۴ مورد دیگر

Carolina Vittoria Beccari is an Associate Professor in the Department of Mathematics at the University of Bologna, Italy, a position she has held since October 2021. Previously, she served as Senior Assistant Professor (2018-2021) and Junior Assistant Professor (2014-2018) at the same institution. Her academic career includes several postdoctoral research fellowships at the University of Bologna in Mathematics, Physics and Astronomy, and the CIRAM (Interdepartmental Research Center for Applied Mathematics). Her educational background includes: Ph.D. in Computational Mathematics from the University of Padova, Italy (2007) M.Sc. in Mathematics from the University of Bologna, Italy (2003) Dr. Beccari's research focuses on geometric modeling, numerical methods for curves and surfaces, interpolation, subdivision schemes, splines, and computer-aided design. She has made significant contributions to the theory and application of Chebyshevian splines, multi-degree B-splines, and rational geometric splines. Her work bridges theoretical mathematics with practical applications in engineering and design, particularly in developing numerical methods that can automatically generate smooth boundary surfaces from tessellations produced by topological optimization. Her research interests also extend to approximation theory and the integration of advanced mathematical techniques into CAD systems. Analysis of her recent publications reveals a clear progression from foundational work on subdivision schemes to more sophisticated applications in topological optimization and industrial design problems. Her work demonstrates increasing sophistication in handling multi-degree splines and Chebyshevian spaces, with growing emphasis on practical applications in manufacturing and engineering design processes. Dr. Beccari has secured multiple research grants including the Alma Idea research grant (2022/23) for mathematical methods to enhance structural optimization of environmentally friendly transport vehicles, the Eurostars Project NIIT4CAD (2010/12), and the University of Bologna Strategic Project IT4CAD (2007/09). She has also participated in numerous research projects funded by INdAM-GNCS on spline regression, data processing, and approximation methods. She teaches multiple courses at the University of Bologna including Introduction to Numerical Methods, Numerical Methods M, and Analisi Numerica e Modellazione Geometrica across various engineering and design programs. Her teaching spans both undergraduate and graduate levels with courses offered in both Italian and English, reflecting her international academic engagement.

Kyoung-Yun Kimمشاهده پروفایل

استاد

• Design Science
• Design Informatics
• Semantic Assembly Design
• +۴ مورد دیگر

Dr. Kyoung-Yun Kim is a Professor in the Department of Industrial and Systems Engineering at Wayne State University's College of Engineering, where he directs the Computational Intelligence and Design Informatics (CInDI) Laboratory and serves as Director of the Smart Manufacturing Demonstration Center (SMDC). He holds a PhD from the University of Pittsburgh and BS/MS from Chonbuk National University, South Korea. As a Fellow of the Society for Design and Process Science (SDPS) and Editor-in-Chief of the Journal of Integrated Design and Process Science, Dr. Kim leads research in design science, semantic assembly modeling, and smart manufacturing. Research Focus: His work integrates ontology-based design, welding/joining technologies, and cyber-physical systems. Key domains include: Semantic reasoning for CAD/CAE systems Data-driven weldability certification Industrial IoT in manufacturing Sustainable product lifecycle management Human-machine collaboration frameworks Publication Trends: Recent articles (2020-2023) demonstrate strong emphasis on AI-driven manufacturing analytics, ontology-based knowledge systems, and cyber-physical integration. Earlier foundational work established novel methods for collaborative assembly design and robotic welding optimization. Awards & Honors: Fellow, Society for Design and Process Science (2017) Top Cited Article Award, Journal CAD (2005-2010) IIE Transactions Best Paper Award (2003) Google Scholar Classics in Manufacturing 1st Place, Center for e-Design Best Poster (2019) Leadership & Grants: Secured over $10M in funding from NSF, DOD, NIST, and industry partners (Ford, GM). Directs NSF I/UCRC for e-Design and co-leads the $3.8M NIST Rx Marketplace Orchestrator project. Educational innovations include NSF-supported curricula in sustainable design and smart manufacturing. Labs & Teams: Leads the CInDI Lab focusing on computational intelligence in design. Coordinates multi-institutional teams with Oregon State, Iowa State, and international collaborators (France, South Korea) for Industry 4.0 initiatives.

• Mechanical Engineering
• Mechatronics
• Metal Cutting Technology
• +۵ مورد دیگر

Аnđeliјa Mitrović is an Associate Professor in the Department of Mehatronics at the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at 65 Svetog Save St. in Čačak (Office No. 136), and she can be contacted via phone (+381 32/302-792) or email (andjelija.mitrovic@ftn.kg.ac.rs). Education PhD in Mechanical Engineering (2016) from Faculty of Technical Sciences Novi Sad with dissertation: "Modeling of Cutting Processes" MSc in Information Technology (2010) from Technical Faculty Čačak with thesis: "Implementation of Virtual Environment in MOODLE LMS for Collaborative Learning of 3D Modeling" Diploma in Mechanical Engineering (1996) from Faculty of Mechanical Engineering Belgrade Diploma in Technique and Informatics (2006) from Technical Faculty Čačak Research Focus Her research spans mechanical engineering with emphasis on metal cutting processes, CAD/CAM systems, and manufacturing technology. She has significant expertise in finite element analysis of machining operations, thermal modeling in cutting processes, and the development of virtual learning environments for engineering education. Recent work integrates AI techniques for process optimization. Publication Trends Her 15 most recent publications (2014-2024) show strong focus on computational modeling of manufacturing processes, particularly thermal analysis in milling/turning operations using FEM. Since 2018, she has increasingly explored educational applications of virtual reality and 3D environments. Recent works incorporate machine learning for predictive modeling in machining. Professional Experience 2021-present: Associate Professor, Faculty of Technical Sciences Čačak 2017-2020: Professor of Vocational Studies 2014-2017: Lecturer 2011-2014: Assistant Professor 2006-2011: Professional Associate 2000-2003: Tool Design Engineer at Cutting Tools Factory Čačak 1997-2004: Mechanical Engineering Professor at various technical schools

• Engineering Graphics
• Building Information Modeling (BIM)
• Energy Efficiency
• +۷ مورد دیگر

María Isabel Fernández Ibáñez is a Professor in the Department of Industrial Engineering at the Ferrol Engineering Polytechnic School, University of A Coruña (UDC), Spain. Her academic work spans teaching and research in engineering graphics, Building Information Modeling (BIM), sustainable design, and energy efficiency. She teaches core and optional courses across undergraduate and master’s programs, including Engineering Drawing, BIM Methodology, and Furniture and Space, in disciplines such as Electrical Engineering, Automation, and Industrial Design. Her research interests focus on engineering education innovation , sustainable building design , and application of BIM tools for energy performance analysis. She is a member of the Ciencia y Técnica Cibernética research group and has contributed extensively to interdisciplinary projects integrating design, simulation, and sustainability. Her recent work explores photorealistic lighting simulation, energy demand in buildings, and modular housing using shipping containers. The 15 most recent publications reflect a strong trend in applied engineering education and energy-efficient building technologies . Keywords across these works include engineering education, BIM, sustainability, and simulation, with sub-fields such as passive design, LED lighting, curriculum innovation, and radiological protection. Her collaborative research often involves energy analysis, pedagogical transformation, and environmental impact assessment. She has directed multiple final-year projects and master’s theses, particularly on BIM applications and lighting design, although specific student names are not listed. She has participated in numerous R&D projects funded by entities such as the European Commission, FECYT, and regional Galician agencies, indicating strong grant acquisition and collaborative research capabilities. She is actively involved in academic tutoring and curriculum development, with regular office hours scheduled via TEAMS and in-person at the Batallones building. Her work supports sustainable practices in higher education and industrial design, contributing to both academic and societal advancement.

Marios Pitikakisمشاهده پروفایل

مدرس

• Semantic Data Management
• Medical Informatics
• 3D Visualization
• +۴ مورد دیگر

Marios Pitikakis is a Lecturer at the Computer Science Department of the University of Crete , where he teaches courses including Calculus, Database Management, Web Services, Logic, and Artificial Intelligence. He holds a PhD in Computer Science (2011) and dual BSc degrees in Computer Science (2000) and Mathematics (1996) from the University of Crete. His research focuses on Semantic Data Management, Medical Informatics, 3D Visualization, and STEM education , with applications in musculoskeletal disease detection, computer-aided diagnosis, and 3D biomedical data workflows. He has contributed to EU-funded projects like XRinVET, MultiScaleHuman, and PERCEIVE , integrating 3D technologies, digital libraries, and AI in healthcare and cultural heritage. Scientific Contributions include developing automated cartilage thickness measurement tools, patient-specific scaffolds for orthopedics, and ontologies for medical knowledge management. His work bridges Web Services, IoT, and Digital Entrepreneurship in VET education. Marie Curie PostDoctoral Fellowship (2013-2015) He has also taught secondary-level Informatics (2006-2017), covering programming, robotics, and microelectronics. His technical expertise spans Python, Java, 3D design, and grid computing .

Kasyanova Elena Nikolaevnaمشاهده پروفایل

دانشیار

• Engineering Graphics
• Descriptive Geometry
• Computer Graphics
• +۲ مورد دیگر

Kasyanova Elena Nikolaevna serves as Associate Professor in the Department of Engineering Graphics at Siberian Federal University's Institute of Mining, Geology and Geotechnology. Born in 1965 in Tsvetnogorsk, Krasnoyarsk Krai, she graduated from the Krasnoyarsk Institute of Non-Ferrous Metals in 1987 with a degree in Mineral Processing and has taught descriptive geometry, engineering graphics, and computer graphics for over three decades. Academic Background: 1987: Krasnoyarsk Institute of Non-Ferrous Metals (Mining Engineer-Beneficiator, Mineral Processing) 2002: Advanced training in "New Information Technologies for Training Specialists" 2010: Certificates in "Quality Management in Education" and "Project Management in Educational Activities" 2013: "Integration of Project Activities into Educational Process" certification 2017: "Management of an Educational Project" qualification Research Focus: Dr. Kasyanova's work bridges Engineering Graphics and Mining Engineering , with dual expertise in Mine Ventilation Systems (evidenced by three patents) and Educational Technology . Her recent scholarship explores student adaptation in technical disciplines, competency-based curriculum design, and digital integration in graphics education. She employs geometric modeling and computer-aided design to solve mining engineering challenges while innovating pedagogical approaches for first-year engineering students. Publication Trajectory: Analysis of her 31 publications reveals a strategic pivot from applied ventilation engineering (1999-2008) to educational methodology (2005-present). Her post-2010 work emphasizes electronic learning resources, with 60% of recent publications co-authored with colleagues like Morin and Gulidova. Key trends include standardization of technical documentation, spatial reasoning development, and adaptive learning systems for mining engineering graphics. Professional Collaboration: As core faculty in Engineering Graphics, she actively contributes to curriculum development and quality assurance processes. Her textbook series "Descriptive Geometry and Engineering Graphics" (2003-2016) demonstrates sustained collaboration with the department's pedagogical team, impacting thousands of students across Siberian Federal University's mining engineering programs.

• Biomechanics
• Biomedical Engineering
• Orthopedic Engineering
• +۵ مورد دیگر

Maha Ead serves as an Assistant Teaching Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Alberta. She teaches core mechanical engineering courses including Mechanics (EN PH 131), Introduction to Thermo-Fluid Sciences (MEC E 230), Mechanical Measurements (MEC E 300B), and Advanced Solid Modeling for Design (MEC E 595) for upcoming terms through Winter 2026. Dr. Ead's research focuses on the intersection of mechanical engineering principles and biomedical applications, with particular emphasis on biomechanics of articular cartilage and pelvic structures. Her work demonstrates expertise in computational modeling, medical imaging analysis, and mechanical testing of biological tissues. She investigates cryopreservation techniques for cartilage, joint resurfacing approaches, and virtual reconstruction methods for pelvic fractures, bridging engineering fundamentals with clinical orthopedic applications. Analysis of her publication record since 2020 reveals a clear progression from fundamental mechanical properties research toward clinically relevant applications in orthopedics. Her work consistently applies mechanical engineering principles to solve medical problems, particularly in joint replacement and fracture reconstruction. The publications show strong interdisciplinary collaboration with medical researchers and clinicians, appearing in reputable journals including Annals of Biomedical Engineering and The American Journal of Sports Medicine. Dr. Ead's teaching portfolio reflects her technical expertise across mechanical engineering fundamentals and specialized biomedical applications. Her courses span from introductory mechanics to advanced solid modeling, demonstrating both breadth and depth in mechanical engineering education. The Advanced Solid Modeling for Design course particularly aligns with her research interests in computational modeling and medical applications.

Max Willseyمشاهده پروفایل

استادیار

• Programming Languages
• Compiler Optimization
• Equality Saturation
• +۷ مورد دیگر

Max Willsey is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley . His research focuses on enhancing program optimization through techniques from programming languages, databases, and systems. He leads the development of tools like egg and egglog , which leverage e-graphs for equality saturation to build robust compiler optimizers. Education: PhD from University of Washington (2021), BS from Carnegie Mellon University (2016) Current Teaching: CS 164 (Programming Languages and Compilers), CS 265 (Compiler Optimization), CS 294-260 (Declarative Program Analysis and Optimization) Research Interests center on equality saturation, e-graphs, Datalog, and their applications in program synthesis, compiler design, and database theory. His work bridges formal methods with practical systems, particularly in hybrid molecular-electronic computing. Notable Scientific Awards: SIGMOD Record Research Highlight (2024) MIT PL Review Selection (2024) Distinguished Paper Awards at OOPSLA (2021) and POPL (2021) Invited Talks at ICCAD (2019) and Biochips Summer School (2019) NSF Graduate Research Fellowship Honorable Mention (2018) As founder of the EGRAPHS Community , he organizes workshops, forums, and seminars for e-graphs researchers. His publications demonstrate a synthesis of compiler optimization, database theory, and molecular computing, with a focus on unifying disparate programming paradigms.

Ming C. Linمشاهده پروفایل

استاد

• Machine Learning
• Physically-based Modeling and Simulation
• Robotics and Autonomous Systems
• +۴ مورد دیگر

Ming C. Lin is the Barry Mersky & Capital One E-Nnovate Endowed Professor and Distinguished University Professor in the Department of Computer Science at the University of Maryland, College Park . Previously, he held the Elizabeth Stevinson Iribe Chair at UNC Chapel Hill. His research spans Machine Learning , Physically-based Modeling and Simulation , Autonomous Systems , and Human-Computer Interaction . He leads the UMD GAMMA Research Group , focusing on differentiable physics, robotics, and traffic simulation. Key achievements include pioneering work in collision detection (RAPID algorithm), physically-based sound synthesis, and autonomous driving systems. Lin has authored over 500 papers and holds numerous awards, including ACM and IEEE Fellowships. His teaching includes courses on Differentiable Programming and Autonomous Systems . Research Highlights : Developed Genesis , a universal physics engine for robotics Advanced differentiable mesh representations (DMesh++/DMesh) Contributed to traffic-aware autonomous driving via differentiable traffic simulation Leadership in collision detection (RAPID algorithm) Awards : ACM Fellow, IEEE Fellow, National Academy of Inventors, Virtual Reality Academy, and over 20 best paper awards. Labs/Teams : Co-director of UMD and UNC GAMMA Groups, active in robotics and graphics research communities.

Tele Tanمشاهده پروفایل

استاد

• Pattern Recognition
• Computer Vision
• Neurological Signal Analysis
• +۵ مورد دیگر

Professor Tele Tan is a Deputy Head of School at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), affiliated with the Faculty of Science and Engineering. He holds a B.Eng (First Class Hons) and PhD from the University of Surrey, UK. His work focuses on advancing technology for neurodivergent individuals, particularly in physiological signal processing and social robotics. He co-founded the Autism Academy for Software Quality Assurance (AASQA) to support autistic students' transition into tech careers. Key roles include leading initiatives in inclusive education and research programs in STEM and entrepreneurship. Research interests span pattern recognition, computer vision, EEG analysis, and human factors in visual analytics. He actively advises on neurodivergent-friendly technologies and has contributed to over 100 publications. Awards include the 2023 Global QS Reimagined Education Award, Triple E Awards, and Member of the Order of Australia (2021). Teaching includes Engineering Programming and Final Year Projects. Notable achievements include pioneering strength-based programs for autistic adolescents, winning WA IT Awards for collaborative projects, and developing bio-signal sensors for medical applications. His work bridges academia and industry, emphasizing accessibility, innovation, and neurodiversity advocacy.

FERRUCCIO MANDORLIمشاهده پروفایل

استاد

• Mechanical CAD Education
• Product Design and Manufacturing
• Eco-Design and Sustainability
• +۵ مورد دیگر

Prof. Ferruccio Mandorli is a Full Professor at the Department of Industrial Engineering and Mathematical Sciences (DIIoM) at University Politecnica delle Marche (UNIVPM). His primary affiliation is within the Engineering school, focusing on mechanical design automation, CAD education, and sustainable product development. He holds a prominent role in academic research and curriculum design. Research Interests: Prof. Mandorli's work revolves around innovative Mechanical Computer-Aided Design (MCAD) education methodologies, parametric modeling techniques, eco-design frameworks, and virtual prototyping. His recent focus includes developing formative feedback systems for CAD education, dormant deficiency detection in design models, and integrating negative knowledge to enhance competency development. Research Trends: Over the past decade, his publications emphasize advancing MCAD pedagogy through real-time feedback tools, parametric feature analysis, and error-driven learning systems. He has pioneered approaches to bridge design intent representation with manufacturing processes, particularly in laser welding and modular product development. Environmental sustainability is a recurring theme, with studies on eco-design tools and life-cycle assessment integration. Advising & Grants: While no specific student advisees are listed, his involvement in PhD programs and research projects indicates active mentorship roles. He collaborates on EU-funded initiatives like Horizon 2020 projects related to smart grids and eco-conscious production. Labs & Teams: His research activities are conducted within DIIoM's advanced engineering labs, focusing on virtual prototyping, CAD system development, and sustainable manufacturing processes. He coordinates interdisciplinary teams working on modular product design and educational technology innovations.

Michael Johnsonمشاهده پروفایل

استاد

• Engineering Education
• Production Economics
• Computer-Aided Design Methodology
• +۳ مورد دیگر

Michael Johnson is a Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, serving concurrently as Associate Provost for Academic Enhancement. He holds a Ph.D. in Mechanical Engineering from MIT and B.S. from Michigan State University. His research focuses on engineering education, production economics, and CAD methodology. He has received numerous teaching awards including ASEE National Teaching Awards and multiple fellowships. Education Background: Ph.D., Mechanical Engineering, MIT (2004) S.M., Engineering, MIT (2001) B.S., Mechanical Engineering, Michigan State University (1999) Research Interests emphasize bridging theory and practice in engineering education through innovative pedagogical strategies. His work explores adaptive expertise in CAD modeling, workforce development for Industry 4.0, and ethics integration in STEM curricula. Recent studies address pandemic impacts on training systems and mentoring approaches for first-generation students. Key Awards: ASEE National Engineering Technology Teaching Award (2020) ASEE Fredrick J. Berger Award (2020) Texas A&M Institute for Engineering Education Fellow (2018-2019) Teaching and Service Contributions include leading initiatives for academic enhancement, curriculum redesign, and promoting diversity through faculty watch parties. He has developed industry-aligned programs addressing skills gaps in manufacturing and logistics sectors. Labs/Teams: Active in Texas A&M's Engineering Education and Innovation initiatives, collaborating with industry partners on workforce training solutions and CAD methodology research.